Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Carlo Strapparava
Since
Specialization
Citations
This map shows the geographic impact of Carlo Strapparava's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carlo Strapparava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlo Strapparava more than expected).
Fields of papers citing papers by Carlo Strapparava
This network shows the impact of papers produced by Carlo Strapparava. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carlo Strapparava. The network helps show where Carlo Strapparava may publish in the future.
Co-authorship network of co-authors of Carlo Strapparava
This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Strapparava.
A scholar is included among the top collaborators of Carlo Strapparava based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Carlo Strapparava. Carlo Strapparava is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Strapparava, Carlo, et al.. (2021). A Layered Bridge from Sound to Meaning: Investigating Cross-linguistic Phonosemantic Correspondences. eScholarship (California Digital Library). 43(43).3 indexed citations
2.
Lauriola, Ivano, et al.. (2020). Automatic Detection of Cross-language Verbal Deception. eScholarship (California Digital Library). 1756–1762.2 indexed citations
Strapparava, Carlo, et al.. (2016). Innovative Semi-Automatic Methodology to Annotate Emotional Corpora. International Conference on Computational Linguistics. 91–100.1 indexed citations
5.
Özbal, Gözde & Carlo Strapparava. (2012). A Computational Approach to the Automation of Creative Naming. Meeting of the Association for Computational Linguistics. 703–711.19 indexed citations
6.
Gatti, Lorenzo, Marco Guerini, Charles Callaway, Oliviero Stock, & Carlo Strapparava. (2012). Creatively Subverting Messages in Posters. ICCC. 175–179.4 indexed citations
7.
Guerini, Marco, Carlo Strapparava, & Oliviero Stock. (2010). Evaluation Metrics for Persuasive NLP with Google AdWords. Language Resources and Evaluation. 3459–3463.7 indexed citations
8.
Novielli, Nicole & Carlo Strapparava. (2010). Studying the Lexicon of Dialogue Acts. Language Resources and Evaluation.1 indexed citations
9.
Guerini, Marco, Carlo Strapparava, & Oliviero Stock. (2008). Valentino: A Tool for Valence Shifting of Natural Language Texts.. Language Resources and Evaluation.24 indexed citations
10.
Guerini, Marco, Carlo Strapparava, & Oliviero Stock. (2008). Resources for Persuasion.. Language Resources and Evaluation.2 indexed citations
11.
Strapparava, Carlo, Alessandro Valitutti, & Oliviero Stock. (2006). The Affective Weight of Lexicon.. Language Resources and Evaluation. 423–426.53 indexed citations
12.
Stock, Oliviero & Carlo Strapparava. (2006). Laughing with HAHAcronym, a computational humor system. National Conference on Artificial Intelligence. 1675–1678.12 indexed citations
13.
Pérez-Marín, Diana, et al.. (2005). Automatic assessment of students’ free-text answers underpinned by the combination of a BLEU-inspired algorithm and latent semantic analysis. Biblos-e Archivo (Universidad Autónoma de Madrid). 358–363.46 indexed citations
14.
Mihalcea, Rada & Carlo Strapparava. (2005). Does Gender Information Influence Early Phases of Spoken Word Recognition. eScholarship (California Digital Library). 27(27).3 indexed citations
Gliozzo, Alfio, Bernardo Magnini, & Carlo Strapparava. (2004). Unsupervised Domain Relevance Estimation for Word Sense Disambiguation.. Empirical Methods in Natural Language Processing. 380–387.13 indexed citations
18.
Strapparava, Carlo, Alfio Gliozzo, & Claudio Giuliano. (2004). Pattern abstraction and term similarity for Word Sense Disambiguation: IRST at Senseval-3. Meeting of the Association for Computational Linguistics. 229–234.32 indexed citations
19.
Zancanaro, Massimo, Oliviero Stock, & Carlo Strapparava. (1993). Dialogue Cohesion Sharing and Adjusting in an Enhanced Multimodal Environment.. International Joint Conference on Artificial Intelligence. 1230–1236.10 indexed citations
20.
Samek-Lodovici, Vieri & Carlo Strapparava. (1990). Identifying Noun Phrase References: The Topic Module of the AlFresco System.. UCL Discovery (University College London). 573–578.9 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.